Mexico vs South Korea Prediction, Tips & Odds
Mexico vs South Korea
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About the Teams
Mexico
South Korea
Head to Head
Last 3 Meetings (Mexico leads 2-0)In their last three encounters, Mexico has won twice and drawn once against South Korea, with no victories for the South Korean side. However, only one of these matches was competitive, the World Cup fixture in 2018, while the other two were friendlies. This recent sample spans from 2018 to 2025, with the latest match occurring in September 2025. Given the small number of competitive meetings and the nature of the friendlies, it is difficult to draw definitive conclusions about the overall strength of either team in this matchup.
Group A Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mexico | 3 | 3 | 0 | 0 | 6 | 0 | 6 | 9 | LWWWW |
| 2 |  South Africa | 3 | 1 | 1 | 1 | 2 | 3 | -1 | 4 | LWDL |
| 3 | South Korea | 3 | 1 | 0 | 2 | 2 | 3 | -1 | 3 | LLW |
| 4 |  Czechia | 3 | 0 | 1 | 2 | 2 | 6 | -4 | 1 | LDL |
Key Statistics
2026 SeasonMexico have won 5 of their last 9 matches at home, drawing 3 and losing 1. Their recent home fixtures include beat Ecuador 2-0 and beat Serbia 5-1.
Overall, the wider run reads 7W 3D 1L from the last 11 games (64% win rate). The form line is positive, with more wins than defeats across the sample.
South Korea have won 1 of their last 3 matches on the road, drawing 1 and losing 1. Their recent away fixtures include lost to Austria 1-0 and drew with Mexico 2-2.
Overall, the wider run reads 6W 1D 3L from the last 10 games (60% win rate). The form line is positive, with more wins than defeats across the sample.
Lineups
Lineups not yet announced
National-team lineups are genuinely unknown until 1 to 2 hours before kick-off, when the starting XI is confirmed. Until then, only predicted lineups are possible.
Unavailable Players
0 playersMexico
No reported absences
South Korea
No reported absences
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.
